A simplified convergence theory for Byzantine resilient stochastic gradient descent

DOI10.1016/j.ejco.2022.100038zbMath1530.90065arXiv2208.11879OpenAlexW4293173463MaRDI QIDQ6114944

Edward S. Smyth, Lindon Roberts

Publication date: 12 July 2023

Published in: EURO Journal on Computational Optimization (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2208.11879

zbMATH Keywords

stochastic optimizationdistributed learningByzantine resilience

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Stochastic programming (90C15)

Cites Work

• Optimization Methods for Large-Scale Machine Learning
• A Stochastic Line Search Method with Expected Complexity Analysis
• Unnamed Item

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